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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Heart rate variability in patients being treated for dengue viral infection: new insights from mathematical correction of heart rate
|
|---|---|
| Published in |
Frontiers in Physiology, January 2014
|
| DOI | 10.3389/fphys.2014.00046 |
| Pubmed ID | |
| Authors |
Robert Carter, Carmen Hinojosa-Laborde, Victor A. Convertino |
| Abstract |
Severe dengue hemorrhagic fever (DHF) is a viral infection that acts to increase permeability of capillaries, resulting in internal hemorrhage. Linear frequency domain Fourier spectral analysis represents the most published noninvasive tool for diagnosing and assessing health status via calculated heart rate variability (HRV). As such, HRV may be useful in assessing clinical status in DHF patients, but is prone to erroneous results and conclusions due to the influence of the average HR during the time period of HRV assessment (defined as the "prevailing" HR). We tested the hypothesis that alterations in HRV calculated with linear frequency analysis would be minimal when mathematically corrected for prevailing HR following dengue viral infection. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 4% |
| Unknown | 55 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 19% |
| Student > Master | 8 | 14% |
| Student > Doctoral Student | 6 | 11% |
| Student > Bachelor | 6 | 11% |
| Student > Ph. D. Student | 6 | 11% |
| Other | 12 | 21% |
| Unknown | 8 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 22 | 39% |
| Agricultural and Biological Sciences | 5 | 9% |
| Engineering | 5 | 9% |
| Computer Science | 3 | 5% |
| Sports and Recreations | 2 | 4% |
| Other | 11 | 19% |
| Unknown | 9 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 25 February 2014.
All research outputs
#20,221,866
of 22,745,803 outputs
Outputs from Frontiers in Physiology
#9,319
of 13,552 outputs
Outputs of similar age
#264,757
of 305,224 outputs
Outputs of similar age from Frontiers in Physiology
#73
of 106 outputs
Altmetric has tracked 22,745,803 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,552 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.5. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 305,224 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 106 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.